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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Multistage Stochastic Programming Modeling For Farmland Irrigation Management Under Uncertainty, Qi Li, Guiping Hu Jun 2020

Multistage Stochastic Programming Modeling For Farmland Irrigation Management Under Uncertainty, Qi Li, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

Farmland management and irrigation scheduling are vital to a productive agricultural economy. A multistage stochastic programming model is proposed to maximize farmers’ annual profit under uncertainty. The uncertainties considered include crop prices, irrigation water availability, and precipitation. During the first stage, pre-season decisions including seed type and plant density are made, while determinations of when to irrigate and how much water to be used for each irrigation are made in the later stages. The presented case study, based on a farm in Nebraska, U.S.A., showed that a 10% profit increase could be achieved by taking the corn price ...


Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Hudilainen Jan 2020

Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Hudilainen

Industrial and Manufacturing Systems Engineering Publications

Open data standards (e.g. LandXML, TransXML, CityGML) are a key to addressing the interoperability issue in exchanging civil information modeling (CIM) data throughout the project life-cycle. Since these schemas include rich sets of data types covering a wide range of assets and disciplines, model view definitions (MVDs) which define subsets of a schema are required to specify what types of data to be shared in accordance with a specific exchange scenario. The traditional procedure for generating and implementing MVDs is time-consuming and laborious as entities and attributes relevant to a particular data exchange context are manually identified by domain ...


Teleporting Through Virtual Environments: Effects Of Path Scale And Environment Scale On Spatial Updating, Jonathan W. Kelly, Alec G. Ostrander, Alex F. Lim, Lucia A. Cherep, Stephen B. Gilbert Jan 2020

Teleporting Through Virtual Environments: Effects Of Path Scale And Environment Scale On Spatial Updating, Jonathan W. Kelly, Alec G. Ostrander, Alex F. Lim, Lucia A. Cherep, Stephen B. Gilbert

Industrial and Manufacturing Systems Engineering Publications

Virtual reality systems typically allow users to physically walk and turn, but virtual environments (VEs) often exceed the available walking space. Teleporting has become a common user interface, whereby the user aims a laser pointer to indicate the desired location, and sometimes orientation, in the VE before being transported without self-motion cues. This study evaluated the influence of rotational self-motion cues on spatial updating performance when teleporting, and whether the importance of rotational cues varies across movement scale and environment scale. Participants performed a triangle completion task by teleporting along two outbound path legs before pointing to the unmarked path ...


Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang Jan 2020

Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Genomic selection is a technique that breeders use to select plant or animal individuals to mate and produce new generations of species. The conventional selection method is to select individuals that are either observed or predicted to be the best based on the assumption that parents with better phenotypes will produce better offspring. A major limitation of this method is its focus on the short‐term genetic gains at the cost of genetic diversity and long‐term growth potential. Recently, several new genomic selection methods were proposed to maximize the long‐term potential. Along this research direction, we propose a ...


Identifying And Mitigating Supply Chain Risks Using Fault Tree Optimization, Michael D. Sherwin, Hugh R. Medal, Cameron A. Mackenzie, Kennedy J. Brown Jul 2019

Identifying And Mitigating Supply Chain Risks Using Fault Tree Optimization, Michael D. Sherwin, Hugh R. Medal, Cameron A. Mackenzie, Kennedy J. Brown

Industrial and Manufacturing Systems Engineering Publications

Although supply chain risk management and supply chain reliability are topics that have been studied extensively, a gap exists for solutions that take a systems approach to quantitative risk mitigation decision making and especially in industries that present unique risks. In practice, supply chain risk mitigation decisions are made in silos and are reactionary. In this article, we address these gaps by representing a supply chain as a system using a fault tree based on the bill of materials of the product being sourced. Viewing the supply chain as a system provides the basis to develop an approach that considers ...


Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


Statistical Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan Nov 2018

Statistical Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

Probabilistic wind power scenarios constitute a crucial input for stochastic day-ahead unit commitment in power systems with deep penetration of wind generation. To minimize the cost of implemented solutions, the scenario time series of wind power amounts available should accurately represent the stochastic process for available wind power as it is estimated on the day ahead. The high computational demands of stochastic programming motivate a search for ways to evaluate scenarios without extensively simulating the stochastic unit commitment procedure. The statistical reliability of wind power scenario sets can be assessed by approaches extended from ensemble forecast verification. We examine the ...


Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan Oct 2018

Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

The adjustable robust counterpart (ARC) of an uncertain linear program extends the robust counterpart (RC) by allowing some decision variables to adjust to the realizations of some uncertain parameters. The ARC may produce a less conservative and costly solution than the RC does but cases are known in which it does not. While the literature documents some examples of cost savings provided by adjustability (particularly affine adjustability), it is not straightforward to determine in advance whether they will materialize. The affine adjustable robust counterpart, while having a tractable structure, still may be much larger than the original problem. We establish ...


Evaluating Human–Automation Etiquette Strategies To Mitigate User Frustration And Improve Learning In Affect-Aware Tutoring, Euijung Yang, Michael C. Dorneich May 2018

Evaluating Human–Automation Etiquette Strategies To Mitigate User Frustration And Improve Learning In Affect-Aware Tutoring, Euijung Yang, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

Human–automation etiquette applies human–human etiquette conventions to human–computer interaction (HCI). The research described in this paper investigates how to mitigate user frustration and support student learning through changes in the style in which a computer tutor interacts with a learner. Frustration can significantly impact the quality of learning in tutoring. This study examined an approach to mitigate frustration through the use of different etiquette strategies to change the amount of imposition feedback placed on the learner. An experiment was conducted to explore how varying the interaction style of system feedback impacted aspects of the learning process. System ...


A Multi-Stage Stochastic Programming For Lot-Sizing And Scheduling Under Demand Uncertainty, Zhengyang Hu, Guiping Hu May 2018

A Multi-Stage Stochastic Programming For Lot-Sizing And Scheduling Under Demand Uncertainty, Zhengyang Hu, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

A stochastic lot-sizing and scheduling problem with demand uncertainty is studied in this paper. Lot-sizing determines the batch size for each product and scheduling decides the sequence of production. A multi-stage stochastic programming model is developed to minimize overall system costs including production cost, setup cost, inventory cost and backlog cost. We aim to find the optimal production sequence and resource allocation decisions. Demand uncertainty is represented by scenario trees using moment matching technique. Scenario reduction is used to select scenarios with the best representation of original set. A case study based on a manufacturing company has been conducted to ...


Evaluating Operator Harvest Technology Within A High-Fidelity Combine Simulator, Chase Meusel, Don Kieu, Stephen Gilbert, Greg R. Luecke, Brian Gilmore, Norene Kelly, Tim Hunt May 2018

Evaluating Operator Harvest Technology Within A High-Fidelity Combine Simulator, Chase Meusel, Don Kieu, Stephen Gilbert, Greg R. Luecke, Brian Gilmore, Norene Kelly, Tim Hunt

Industrial and Manufacturing Systems Engineering Publications

Farming today is more complex than it has ever been. Operators are increasingly reliant on technology to aid and improve harvest performance. New harvest technology is under development that will advise harvest operators on the proper adjustment of machine harvest settings, as well as automatically adjust these machine settings without operator intervention, improving the harvest performance of the machine, and reducing the cognitive load of the operator. In this work a high-fidelity, interactive harvest combine simulator is used to understand how harvest operators currently use existing harvest technology, and to evaluate the performance improvements provided by new prototype machine control ...


Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan Jan 2018

Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

We optimize the design of a closed-loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products. The model also accommodates a carbon tax with tax rate uncertainty. The proposed model is a three-stage hybrid robust/stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates. The first stage decisions are facility investments, the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns, and the numbers ...


A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma Jan 2018

A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma

Industrial and Manufacturing Systems Engineering Publications

Although extant studies proposed various models and frameworks for sustainable supplier selection problems, they paid limited attention to the incorporation of regional economic, social, and environmental factors simultaneously for global supply chain design due to the difficulty in reflecting varies dimensions of the global business environment and their associated risk in a decision model. Existing supplier selection models also tend to focus on the formulation of a simplified supply chain structure rather than considering more realistic supply chain operations under multiple sourcing and product designs. To facilitate the complex decision-making process of global supplier selection problems, this study proposes an ...


Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher Jan 2018

Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher

Industrial and Manufacturing Systems Engineering Publications

Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set ...


Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer Jan 2018

Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer

Industrial and Manufacturing Systems Engineering Publications

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a ...


Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen Mar 2017

Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen

Industrial and Manufacturing Systems Engineering Publications

This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes ...


Improving Risk Assessment Communication, Mark A. Gallagher, Cameron A. Mackenzie, David M. Blum, Douglas A. Boerman Jan 2016

Improving Risk Assessment Communication, Mark A. Gallagher, Cameron A. Mackenzie, David M. Blum, Douglas A. Boerman

Industrial and Manufacturing Systems Engineering Publications

Assessors often diminish communicating risk to show a single category or color without providing a full context of the evaluation, basis, and assumptions behind the risk assessment. We attempt to remedy that by presenting an approach to communicate risk assessments more completely with a clearer understanding of these issues. First, we specify assessor should present necessary information as part of a standard risk assessment statement. This information is discussed in four groups: 1) the activity or a collection of activities being assessed, 2) the context of the assessment (who made it, when, with what scope, and how rigorously), 3) setting ...


Assessing Values-Based Sourcing Strategies In Regional Food Supply Networks: An Agent-Based Approach, Caroline C. Krejci, Michael C. Dorneich, Richard T. Stone Oct 2015

Assessing Values-Based Sourcing Strategies In Regional Food Supply Networks: An Agent-Based Approach, Caroline C. Krejci, Michael C. Dorneich, Richard T. Stone

Industrial and Manufacturing Systems Engineering Publications

The recent increase in demand for regionally produced food has resulted in a need for more efficient distribution methods. To connect regional food producers and consumers, intermediated regional food supply networks have developed. The intermediary, known as a regional food hub, serves as an aggregation point for products and information. It may also act as a filter to ensure that the requirements of both producers and consumers are consistently met. This paper describes an empirically based agent-based model of a regional food network in central Iowa that is intermediated by a food hub. The model was used to test a ...


Working On An Assignment With People You'll Never Meet! Case Study On Learning Operations Management In International Teams, Peter D. Ball, Hilary J. Grierson, Kyung J. Min, John K. Jackman, Patrick Patterson Jan 2007

Working On An Assignment With People You'll Never Meet! Case Study On Learning Operations Management In International Teams, Peter D. Ball, Hilary J. Grierson, Kyung J. Min, John K. Jackman, Patrick Patterson

Industrial and Manufacturing Systems Engineering Publications

This paper examines the results of an international team-based operations management assignment that runs between two universities. The work shows the benefits of giving students a taste of real-life operations management problems both from a technical point of view as well as the challenges faced when working to short timescales, with unfamiliar team players and across time zones. The work has generated valuable understanding of the approach required to set up such inter-institution assignments. It has enabled a process model to be developed to allow others to extract the key stages required for setting up and running them.